ToddKerpelman

A handful of BigQuery SQL queries that you can use to analyze your own Google Analytics for Firebase data. To find out more about how they work, check out our presentation from Cloud Next 2018 (Video link to be added soon)

Please note that these scripts have been updated to make sure of the new Firebase schema, which was rolled out to Analytics products in July of 2018.

Note that none of these scripts will work out of the box -- you'll need to update the values in brackets with the names of your actual datasets, and you'll most likely also need to replace the names of events and event properties with ones that are appropriate for your app.

The contents of this gist are licensed under the Apache License, version 2.0

ToddKerpelman

SELECT DISTINCT user_pseudo_id
FROM `firebase-public-project.analytics_153293282.events_*`
WHERE
  event_name = 'first_open'
  AND event_timestamp >= UNIX_MICROS(TIMESTAMP("2018-08-01 00:00:00", "-7:00"))
  AND event_timestamp < UNIX_MICROS(TIMESTAMP("2018-08-08 00:00:00", "-7:00"))
  AND _TABLE_SUFFIX BETWEEN '20180731' AND '20180808'

ToddKerpelman

SELECT DISTINCT user_pseudo_id
FROM `firebase-public-project.analytics_153293282.events_*`
WHERE event_name = 'first_open'
  AND _TABLE_SUFFIX BETWEEN '20180801' AND '20180807'

ToddKerpelman

SELECT DISTINCT user_pseudo_id
FROM `firebase-public-project.analytics_153293282.events_*`
WHERE event_timestamp >= UNIX_MICROS(TIMESTAMP("2018-08-08 00:00:00", "-7:00")) 
AND  event_timestamp < UNIX_MICROS(TIMESTAMP("2018-08-15 00:00:00", "-7:00")) 
AND _TABLE_SUFFIX BETWEEN '20180807' AND '20180815'
AND user_pseudo_id IN ( 
  SELECT DISTINCT user_pseudo_id
  FROM `firebase-public-project.analytics_153293282.events_*`
  WHERE event_name = 'first_open'
  AND event_timestamp >= UNIX_MICROS(TIMESTAMP("2018-08-01 00:00:00", "-7:00")) 

ToddKerpelman

WITH week_1_users AS (
  SELECT DISTINCT user_pseudo_id
  FROM `firebase-public-project.analytics_153293282.events_*`
  WHERE event_timestamp >= UNIX_MICROS(TIMESTAMP("2018-08-08 00:00:00", "-7:00")) 
    AND  event_timestamp < UNIX_MICROS(TIMESTAMP("2018-08-15 00:00:00", "-7:00")) 
    AND _TABLE_SUFFIX BETWEEN '20180807' AND '20180815'
), 
week_0_users AS (
  SELECT DISTINCT user_pseudo_id

ToddKerpelman

WITH week_3_users AS (
  SELECT DISTINCT user_pseudo_id
  FROM `firebase-public-project.analytics_153293282.events_*`
  WHERE event_timestamp >= UNIX_MICROS(TIMESTAMP("2018-08-22 00:00:00", "-7:00")) 
    AND  event_timestamp < UNIX_MICROS(TIMESTAMP("2018-08-29 00:00:00", "-7:00")) 
    AND _TABLE_SUFFIX BETWEEN '20180821' AND '20180829'
),
week_2_users AS (
  SELECT DISTINCT user_pseudo_id
  FROM `firebase-public-project.analytics_153293282.events_*`

ToddKerpelman

SELECT 
 week_0_cohort / week_0_cohort AS week_0_pct,
 week_1_cohort / week_0_cohort AS week_1_pct,
 week_2_cohort / week_0_cohort AS week_2_pct,
 week_3_cohort / week_0_cohort AS week_3_pct
FROM (
  WITH week_3_users AS (
    SELECT DISTINCT user_pseudo_id
    FROM `firebase-public-project.analytics_153293282.events_*`
    WHERE event_timestamp >= UNIX_MICROS(TIMESTAMP("2018-08-22 00:00:00", "-7:00")) 

ToddKerpelman

WITH analytics_data AS (
  SELECT user_pseudo_id, event_timestamp, event_name, 
    UNIX_MICROS(TIMESTAMP("2018-08-01 00:00:00", "-7:00")) AS start_day,
    3600*1000*1000*24*7 AS one_week_micros
  FROM `firebase-public-project.analytics_153293282.events_*`
  WHERE _table_suffix BETWEEN '20180731' AND '20180829'
)
SELECT DISTINCT user_pseudo_id
FROM analytics_data
WHERE event_name = 'first_open'

ToddKerpelman

WITH analytics_data AS (
  SELECT user_pseudo_id, event_timestamp, event_name, 
    UNIX_MICROS(TIMESTAMP("2018-08-01 00:00:00", "-7:00")) AS start_day,
    3600*1000*1000*24*7 AS one_week_micros
  FROM `firebase-public-project.analytics_153293282.events_*`
  WHERE _table_suffix BETWEEN '20180731' AND '20180829'
)

SELECT week_0_cohort / week_0_cohort AS week_0_pct,
 week_1_cohort / week_0_cohort AS week_1_pct,

ToddKerpelman

WITH analytics_data AS (
  SELECT user_pseudo_id, event_timestamp, event_name, 
    -- This value is different
    UNIX_MICROS(TIMESTAMP("2018-07-29 00:00:00", "-7:00")) AS start_day,
    3600*1000*1000*24*7 AS one_week_micros
  FROM `firebase-public-project.analytics_153293282.events_*`
  -- These values have changed                          
  WHERE _table_suffix BETWEEN '20180728' AND '20180827'
)
SELECT week_0_cohort / week_0_cohort AS week_0_pct,